A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded as follows: Temperature 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Conv. Sugar 8.1 7.8 8.5 9.8 9.5 8.9 8.6 10.2 9.3 9.2 10.5 A. Which is the predictor variable and the response variable? B. Compute Pearson sample correlation coefficient r and interpret its nature and magnitude. C. Compute the sample coefficient of determination and interpret.
A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded as follows: Temperature 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Conv. Sugar 8.1 7.8 8.5 9.8 9.5 8.9 8.6 10.2 9.3 9.2 10.5 A. Which is the predictor variable and the response variable? B. Compute Pearson sample correlation coefficient r and interpret its nature and magnitude. C. Compute the sample coefficient of determination and interpret.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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pls answer a,b,c without using excel. pls use paper so i can understand thank youu
Transcribed Image Text:2. A study was made on the amount of converted sugar in a certain process at various temperatures.
The data were coded and recorded as follows:
Temperature
Conv. Sugar
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
8.1
7.8
8.5
9.8
9.5
8.9
8.6
10.2
9.3
9.2
10.5
A. Which is the predictor variable and the response variable?
B. Compute Pearson sample correlation coefficient r and interpret its nature and magnitude.
C. Compute the sample coefficient of determination and interpret.
D. Using a 0.01 level of significance, test the hypothesis that there is no significant linear correlation
between temperature and amount of converted sugar.
E. Find the fitted regression line to estimate amount of converted sugar.
F. Estimate the amount of converted sugar produced when the coded temperature is 1.75.
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